class_docstr: Model architecture from:
  https://medium.com/coinmonks/create-a-neural-network-in
      -pytorch-and-make-your-life-simpler-ec5367895199
class_docstr_tok: ["Model","architecture","from",":","https",":","\/\/medium.com\/coinmonks\/create-a-neural-network-in","-pytorch-and-make-your-life-simpler-ec5367895199"]
code: def forward(self, input):
      lin1 = self.lin1(input)
      lin2 = self.lin2(self.relu1(lin1))
      return self.sigmoid(lin2)
  
file_path: captum/tests/helpers/classification_models.py
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the SigmoidModel obj's underlying member method code with example usage: obj.forward(input) and returns: self